Skip to main content

Measurement Error in Covariates in the Marginal Hazards Model for Multivariate Failure Time Data

Buy Article:

$43.00 plus tax (Refund Policy)

Summary. 

We consider measurement error in covariates in the marginal hazards model for multivariate failure time data. We explore the bias implications of normal additive measurement error without assuming a distribution for the underlying true covariate. To correct measurement-error-induced bias in the regression coefficient of the marginal model, we propose to apply the SIMEX procedure and demonstrate its large and small sample properties for both known and estimated measurement error variance. We illustrate this method using the Lipid Research Clinics Coronary Primary Prevention Trial data with total cholesterol as the covariate measured with error and time until angina and time until nonfatal myocardial infarction as the correlated outcomes of interest.
No References
No Citations
No Supplementary Data
No Data/Media
No Metrics

Keywords: Bias; Marginal hazards model; Measurement error; Multivariate data; SIMEX

Document Type: Research Article

Affiliations: 1: Rho, Inc., Chapel Hill, North Carolina 27514, U.S.A., Email: [email protected] 2: Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, U.S.A.

Publication date: 2004-12-01

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more